BioacousticAI: Understanding animal sounds with machine learning

The BioacousticAI consortium is 4-year Marie Skłodowska-Curie Doctoral Network project focused on the intersection of bioacoustics and Artificial Intelligence (AI) for wildlife monitoring and biodiversity protection.

The Consortium

Here are some key details about the consortium:

In short, the consortium is leveraging AI to revolutionize how we "listen" to and understand the voice of nature for conservation efforts.

Program

Monday, November 17
Doctoral Candidates Networking

10 Doctoral Candidates Sessions and Tiger Team meetings with Tom Bradfer-Lawrence (RSPB Centre for Conservation Science), Diego Llusia (Universidad Autonoma de Madrid), Clara Amorim (Lisbon University), Hans Slabbekoorn (Leiden University)

 

Tuesday, November 18
Policy & Conservation

Biodiversity Indicators for Policy with Kevin Darrad (INRAE), Jean-Baptiste Mihroub (MNHM) and Leo Papet (Biophonia)

 

Wednesday, November 19
Human Auditory Ecology

Ecoacoustics for Conservation, Human Auditory Ecology, How to Listen Soundscapes with Kate Jones (UCL), Christian Lorenzi (ENS), Jérôme Sueur (MNHM) and Sylvain Haupert (CNRS)

 

Thursday, November 20
Technical Workshops

Bio-logging Technologies and Low-Power/Low-CO2e Hardware Design with Ari Strandburg-Pershkin (Max-Plank Institute), Vincent Lostanien (CNRS), Pierre-Emmanuel Hladik (Centrale Nantes) and Sébastien Faucou (Université de Nantes)

 

Friday, November 21
AI & Ethics

Bats conservation, Discussion on AI & Ecology Opportunities, Moderated AI Ethics Discussion with Lia Gilmour (Bats Conservation Trust) and Felix Michaud (MnHM)